India based Hardware company Sales Insights - A Data Analysis Project performed on Tableau & SQL

Sales insights project using Powerbi and SQL

In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2014 to 2017.

Analyze retail sales data using SQL and Python. Build a SQLite database from CSV, run SQL queries for key KPIs (revenue, top products, AOV, trends), and visualize results with Matplotlib. A portfolio-ready project demonstrating SQL + data analytics + reporting automation.

The analysis of pizza sales using SQL involes the various sales trends, month wise sales analysis, category wise analysis and many more. Undercover different insights into ccustomer preferences and choices.

MarketIQ is a full-stack Streamlit + SQL + Prophet dashboard for real-time business intelligence. It transforms raw sales data into KPIs, trend analytics, and six-month forecasts. With SQL-driven insights, dynamic filtering, and exportable reports, MarketIQ helps analysts visualize growth and predict performance instantly.

This project analyzes sales data for Awesome Chocolates Company using SQL and Power BI. Key features include parameterized SQL queries for dynamic data filtering and real-time dashboard updates. The project demonstrates skills in data querying, visualization, and business insights.

This repository contains a Power BI solution for AtliQ hardware, enabling comprehensive analysis of sales trends, informed decision-making, and revenue growth in the brick and mortar business.

📊 Retail Sales AnalysisA data-driven project focused on analyzing retail sales performance across different products, category, and time periods. This repository includes data cleaning, visualization, and actionable insights using Python and SQL.

A collection of SQL-based data analytics projects demonstrating techniques for data extraction, transformation, analysis, and visualization. These projects showcase practical SQL queries and insights across various domains, including sales, customer segmentation, and employee attrition analysis.

This repository is for a data analytics project using SQL. The project is about analyzing and getting insights about video games sales, and users and critics reviews.

Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.

Architected a SQL-based Superstore Data Warehouse to analyse trends of customer records to identify profitable market segments and designed Quarterly Sales Forecasting Dashboard to get insights using Tableau.

I analyzed retail data (2022–2023) using Python (ETL) and SQL. Identified top products, regional trends, and sales growth, providing actionable insights to optimize logistics, boost sales, and improve profitability.

Welcome to the SQL Data Analysis Repository! This repository hosts a collection of SQL scripts and queries for various data analysis tasks. These scripts are designed to help you analyze and gain insights from datasets related to automobiles, sales, and medicine. Below, you'll find a brief overview of the analysis projects available in this repo

- Analyzed Walmart sales data from three branches using SQL and Python, focusing on product performance, sales trends, and customer behavior to optimize sales strategies and identify key performance factors. - Performed data wrangling, feature engineering, and exploratory data analysis to uncover insights

This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis.

Embark on a thorough investigation as we navigate the transactional dataset of UCI, a non-store retail UK company, utilizing SQL queries and PowerBI visualization tools. This analysis empowers businesses with strategic insights for precise inventory management and sales planning in the coming year.

Designed an end-to-end analysis pipeline using MySQL, Python, and Power BI. Analyzed purchase patterns and customer sentiment using SQL and Python (TextBlob, pandas). Built an interactive Power BI dashboard for sales, trends, and sentiment insights.

A SQL-based data analysis project for a pizza store, built using CSV datasets. It explores sales performance, order patterns, and revenue insights through structured queries and joins.

MarketIQ is a full-stack Streamlit + SQL + Prophet dashboard for real-time business intelligence. It transforms raw sales data into KPIs, trend analytics, and six-month forecasts. With SQL-driven insights, dynamic filtering, and exportable reports, MarketIQ helps analysts visualize growth and predict performance instantly.

A complete end-to-end MySQL project analyzing grocery store operations through database design, complex SQL queries, and business insights. Includes ERD modeling, customer & sales analysis, supplier performance evaluation, and data-driven recommendations for improving retail decision-making.

This project focuses on analyzing retail sales data using SQL to extract meaningful business insights. The database sql_project_p2 was created to store transaction details such as sales date, time, customer demographics, product categories, quantity, cost, and total sales.

An interactive Power BI dashboard project analyzing pizza sales data using SQL and DAX to uncover key business insights on revenue, customer behavior, and product performance.

I explored a sales dataset and generated various analytics and insights from customers' past purchase behavior. I used SQL to analyze sales revenue and create a customer segmentation analysis using the RFM technique.

Sales Data Analysis using Power BI and My SQL

Pipeline ETL end-to-end de ventas desarrollado en Python, desde la generación de datos ficticios realistas hasta la carga en un data warehouse en SQLite. Incluye modelado dimensional, consultas SQL analíticas y generación automática de informes de insights.

Sales Insights Data Analysis using SQL and Tableau

A detailed analysis of BlinkIT grocery sales using SQL and Python — turning raw data into meaningful insights through clean code and simple visuals.

This project provides data-driven insights into Walmart's sales, profitability, and customer behavior using SQL analysis. The findings help optimize marketing, inventory, and operational strategies for increased revenue and efficiency.